An Analysis of Educational Linked Data

Abstract

In the last few years, the scale and variety of data sets published in accordance with the Linked Data (LD) principles have increased and at the same time have led to the emergence of a broad range of educational conformity. However, sufficient information about the status, scope and scope of the current educational Linked Data still seems to be incomplete. In this study, the scope and area of higher educational linked data on the web are analyzed. This study provides an overview of the creation of data on higher education related to data sets and vocabulary, data collection and processing, Resource Description Framework (RDF) and link building. By using Linked Data Principles, Linked Data can be queried from multiple sources at once, and all data shares can be combined without the need for a single common schema. This study sheds light on the basic requirements of linked data applications at national and organization levels in higher education environments.

Keywords: Linked data, semantic web, education, educational data.